Feature: Radiology-Grade Viewer with Image Annotation

Flywheel has made significant upgrades to our native DICOM viewer.   Radiologists using Flywheel can load full studies in the viewer with a simple click of the button at the project and session level.  Once loaded, the study list interface makes loading and reviewing multiple series fast and easy.

We’ve made further enhancements to our ROI and annotation tools, allowing users to efficiently annotate imaging data sets of any size.  Customizable label sets ensure that reviewers’ annotations are consistent and standardized. Reviewers can even be presented with a form in the viewer ensuring that research-specific criteria are adhered to on every image reviewed.

Finally, Flywheel is rolling out a robust WADO service that not only improves our native viewer’s performance but allows access to Flywheel data through your viewer of choice. 

Product Update Series: Data Views UI

Data Views provide Flywheel users the ability to create and share custom views of their Flywheel data and metadata. This feature has long been available via the SDK, and will be soon available in the UI, including an easy-to-use report builder.

The new Data Views UI provides a fast, flexible way to create, view, and export user-defined snapshots of project data and or metadata for analysis, reporting, and export.   Data views may be used in many ways. For example, researchers may easily view and analyze their subject cohorts and related metadata attributes, aggregate numerical data generated by gears or other algorithms for use in group analysis, or aggregate data from timepoint exams in a longitudinal study to assess changes over time.

Flywheel captures a great deal of metadata and data from imported data sets, processing results, and user-defined metadata and annotations.  The Data Views Builder provides a drag and drop editor to simplify creation of data views from any metadata in the database, and from csv, tsv, and json files managed in Flywheel.   Saved data views are presented as reports from the project menu. From there, data may be exported to a variety of formats including csv, tsv, or json for use in external applications.  Data views are also accessible via Flywheel SDKs as data frames or tabular structures in Python, R, and MATLAB in order to simplify analysis.

Data views are an important suite of tools that will help researchers get more value from their data and metadata in Flywheel.   Flywheel will continue to invest in enhancing data views with additional analytic and visualization tools.